APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The following descriptions best describe what:1. Value that has to be assigned manually. 2. The K value in K-nearest-neighbor is an example of this. 3. Value is set before the training.
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Centroid
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Model Parameter
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Model hyper parameter
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Significance
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Explanation:
Detailed explanation-1: -Neighbours are points in proximity with respect to the distance measure expressed through exemplars. Exemplars are either centroids that nd a centre of mass according to a chosen distance metric or medoids that nd the most centrally located data point.
Detailed explanation-2: -D 50. 3) Which of the following distance metric can not be used in k-NN? All of these distance metric can be used as a distance metric for k-NN.
There is 1 question to complete.